Ecology, Extinction, Biological dispersal, Ecology and Statistics are his primary areas of study. His Population density research extends to Ecology, which is thematically connected. His research integrates issues of Pink noise, Biota, Biogeochemistry and Brownian noise in his study of Extinction.
His Biological dispersal study combines topics from a wide range of disciplines, such as Tropical forest, Forest fragmentation, Biological Dynamics of Forest Fragments Project, Gap crossing and Fragmentation. His studies in Ecology integrate themes in fields like Null model and Random walk. His work carried out in the field of Statistics brings together such families of science as Trophic level, Extinction probability and Taxon.
His scientific interests lie mostly in Ecology, Biodiversity, Extinction, Habitat and Pollen. His Ecology study frequently draws parallels with other fields, such as Biological dispersal. His study in Biodiversity is interdisciplinary in nature, drawing from both Ecosystem, Neutral theory of molecular evolution and Species diversity.
His Extinction research incorporates elements of Habitat destruction and Statistics. His work in Habitat covers topics such as Butterfly which are related to areas like Environmental change and Protected area. The concepts of his Pollen study are interwoven with issues in Urticaceae, Vegetation, Phenology and Horticulture.
John M. Halley mainly investigates Ecology, Biodiversity, Extinction, Extinction debt and Abundance. Ecology is frequently linked to Population size in his study. Within one scientific family, John M. Halley focuses on topics pertaining to Environmental resource management under Biodiversity, and may sometimes address concerns connected to Plant community.
The Extinction study combines topics in areas such as Restoration ecology, Tropical climate, Atmospheric sciences, Forestry and Ecosystem. He has researched Extinction debt in several fields, including Taxon and Vegetation type. John M. Halley interconnects Global biodiversity and Wild species in the investigation of issues within Abundance.
John M. Halley mostly deals with Ecology, Biodiversity, Extinction debt, Environmental resource management and Extinction. John M. Halley regularly links together related areas like Burkholderiales in his Ecology studies. His research in Biodiversity intersects with topics in Agriculture, Cultural services, Ecosystem services and Vegetation type.
His biological study spans a wide range of topics, including Plant community, Beta diversity, Woody plant and Passerine. His Extinction study combines topics from a wide range of disciplines, such as Biodiversity hotspot, Habitat, Restoration ecology, Tropical climate and Forestry. His Abundance study integrates concerns from other disciplines, such as Range, Disturbance, Quadrat, Occupancy and Sampling.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Ecology, evolution and 1 f -noise
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Trends in Ecology and Evolution (1996)
Uses and abuses of fractal methodology in ecology
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Ecology Letters (2004)
Elephant Seal Genetic Variation and the Use of Simulation Models to Investigate Historical Population Bottlenecks
A. R. Hoelzel;J. Halley;S. J. O'Brien;C. Campagna.
Journal of Heredity (1993)
Dispersal of Amazonian birds in continuous and fragmented forest
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Ecology Letters (2007)
Effects of Monoterpenoids, Acting Alone or in Pairs, on Seed Germination and Subsequent Seedling Growth
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Journal of Chemical Ecology (2003)
How does habitat diversity affect the species-area relationship
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Global Ecology and Biogeography (2008)
Where did the fires burn in Peloponnisos, Greece the summer of 2007? Evidence for a synergy of fuel and weather
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Agricultural and Forest Meteorology (2012)
Predicting the Persistence of Amphibian Populations with the Help of a Spatial Model
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Journal of Applied Ecology (1996)
On the relation between temporal variability and persistence time in animal populations
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Journal of Animal Ecology (2003)
Investigating long-term ecological variability using the Global Population Dynamics Database.
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Science (2001)
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